2009

B. Gipp and J. Beel, “Citation Proximity Analysis (CPA) – A New Approach for Identifying Related Work Based on Co-Citation Analysis,” in Proceedings of the 12th International Conference on Scientometrics and Informetrics (ISSI’09), Rio de Janeiro, Brazil, 2009. [Bibtex]

ePassport: The World’s New Biometric Passport

One and a half years after publishing the first book on the world’s new electronic passport ‘ePassport’, Jöran Beel, Ivo Rössling and I published a completely overworked version of our book in English. The new book ‘ePassport: The World’s New Biometric Passport’ describes the basic details of the ePassport and gives a thorough overview of the technical specifications. Subsequently, it provides an in-depth analysis considering both the chances and risks of the new technology. Aside from the general explanation and analysis of biometric passports, the introduction of the ePassport in Germany is covered in detail.

Among other things, the book shows that some fears of data protectionists are unsubstantiated. On the other hand, the book reveals disinformation by the German Government and finds that the security of the Basic Access Control is usually significantly lower than the promoted 56 Bit.

ePass – der neue biometrische Reisepass

This book is about the electronic passport, which is called ‘ePass’ in Germany. The electronic passport will become compulsory for all EU-citizens within the next few years and other countries, including the United States and Australia also have plans to introduce it. The book covers all relevant topics of the electronic passport, such as security concepts, biometrics, digital signatures, encryption, and data privacy. Political aspects are also considered.

Since the book was published in October 2005, it has become the standard book about the ePass. The media, researchers, and ePass opponents and proponents in Germany base their work on this book.

N. Meuschke, V. Stange, M. Schubotz, and B. Gipp, “HyPlag: A Hybrid Approach to Academic Plagiarism Detection,” in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2018. [Bibtex]

P. Scharpf, M. Schubotz, and B. Gipp, “Representing Mathematical Formulae in Content MathML using Wikidata,” in Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2018. [Bibtex]

@Article{JoeranBeelEtAl2016a,
Title = {{T}owards reproducibility in recommender-systems research},
Author = {{B}eel, {J}oeran
and {B}reitinger, {C}orinna
and {L}anger, {S}tefan
and {L}ommatzsch, {A}ndreas
and {G}ipp, {B}ela},
Journal = {{U}ser {M}odeling and {U}ser-{A}dapted {I}nteraction ({UMUAI})},
Year = {2016},
Pages = {69-101},
Volume = {26},
Abstract = {Numerous recommendation approaches are in use today. However, comparing their effectiveness is a challenging task because evaluation results are rarely reproducible. In this article, we examine the challenge of reproducibility in recommender-system research. We conduct experiments using Plista's news recommender system, and Docear's research-paper recommender system. The experiments show that there are large discrepancies in the effectiveness of identical recommendation approaches in only slightly different scenarios, as well as large discrepancies for slightly different approaches in identical scenarios. For example, in one news-recommendation scenario, the performance of a content-based filtering approach was twice as high as the second-best approach, while in another scenario the same content-based filtering approach was the worst performing approach. We found several determinants that may contribute to the large discrepancies observed in recommendation effectiveness. Determinants we examined include user characteristics (gender and age), datasets, weighting schemes, the time at which recommendations were shown, and user-model size. Some of the determinants have interdependencies. For instance, the optimal size of an algorithms' user model depended on users' age. Since minor variations in approaches and scenarios can lead to significant changes in a recommendation approach's performance, ensuring reproducibility of experimental results is difficult. We discuss these findings and conclude that to ensure reproducibility, the recommender-system community needs to (1) survey other research fields and learn from them, (2) find a common understanding of reproducibility, (3) identify and understand the determinants that affect reproducibility, (4) conduct more comprehensive experiments, (5) modernize publication practices, (6) foster the development and use of recommendation frameworks, and (7) establish best-practice guidelines for recommender-systems research.},
Doi = {10.1007/s11257-016-9174-x},
ISSN = {1573-1391},
Url = {https://dx.doi.org/10.1007/s11257-016-9174-x}
}

J. Beel, S. Langer, M. Genzmehr, B. Gipp, and A. Nuernberger, “A Comparative Analysis of Offline and Online Evaluations and Discussion of Research Paper Recommender System Evaluation,” in Proceedings of the Workshop on Reproducibility and Replication in Recommender Systems Evaluation (RepSys) at the ACM Recommender System Conference (RecSys), 2013. [Bibtex]

B. Gipp and J. Beel, “Method and System for Detecting a Similarity of Documents,” , 2011. [Bibtex]

@Patent{GIPP11pat,
Title = {{M}ethod and {S}ystem for {D}etecting a {S}imilarity of {D}ocuments},
Nationality = {US},
Year = {2011},
Yearfiled = {2011},
Author = {{G}ipp, {B}ela and {B}eel, {J}oeran},
Day = {27},
Dayfiled = {01},
Month = {Oct.},
Monthfiled = {07},
Note = {US 2011/0264672 A1},
Url = {https://www.patentlens.net/patentlens/patent/US_2011_0264672_A1/en/},
Abstract = {The invention relates to a method and a system for detecting a similarity of documents. The similarity of documents is detected with the help of an analysis of citations in one or more citation document(s), wherein the distance between the individual citations is used as criterion of the analysis. On the basis of the determined distance between two citations, respectively, a similarity value is determined, which is characteristic of the cited documents. A small distance between two citations leads to a high similarity of the cited documents. In case of several citations with regard to documents from several citation documents, the similarity values for the citation pairs from the individual citation documents are used for determining a final similarity value.},
Filing_num = {13174882},
HowPublished = {Patent Application},
Ipc_class = {G06F 17/30},
Us_class = {707749; 707E17008; 707E17108},
Version = {A1}
}

B. Gipp, “Measuring Document Relatedness by Citation Proximity Analysis and Citation Order Analysis,” in Research and Advanced Technology for Digital Libraries: Proceedings of the 14th European Conference on Digital Libraries (ECDL’10), 2010. [Bibtex]

B. Gipp and J. Beel, “Citation Based Plagiarism Detection – A New Approach to Identify Plagiarized Work Language Independently,” in Proceedings of the 21st ACM Conference on Hypertext and Hypermedia (HT’10), New York, NY, USA, 2010. [Bibtex]

J. Beel, B. Gipp, and J. Stiller, “Information Retrieval on Mind Maps – What Could it be Good For?,” in Proceedings of the 5th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom’09), Washington, USA, 2009. [Bibtex]

B. Gipp and J. Beel, “Identifying Related Documents For Research Paper Recommender By CPA And COA,” in Proceedings of The World Congress on Engineering and Computer Science 2009, Berkeley, USA, 2009. [Bibtex]

B. Gipp and J. Beel, “Citation Proximity Analysis (CPA) – A New Approach for Identifying Related Work Based on Co-Citation Analysis,” in Proceedings of the 12th International Conference on Scientometrics and Informetrics (ISSI’09), Rio de Janeiro, Brazil, 2009. [Bibtex]